406 karma · joined February 1, 2021
If they abstract all this away into one interface I won't know which model I'm getting. I prefer reliability.
For example the rhyming example brings to mind a feature where you give the model starting input and ending input and ask it to fill in.
Can not only imagine it being useful in that sense, but for ways at retroactively arriving at some answer, or solution or something. Like the causal chain that leads to a specific answer.
Another idea is to show all possible word variations, and then the middle is rewritten based on the chosen word.
It's not like "Oh their quality of life is exactly the same as in the US it's just cheaper! So it's totally fine for us to pay them peanuts! Right? Peanuts buy you a house there... I mean the house has no plumbing but it's a house!" No, their quality of life is absolute crap compared to first world countries (as someone from a third world country). And paying them like shit will only prolong their suffering.
The least the company could do is pay them fairly which means they can travel or live a better quality life.
GPT-4o will never offhand, unprompted and 'unprimed', suggest a rare but relevant book like Shinichi Nakazawa's "A Holistic Lemma of Science" but a base model Mixtral 8x22B or Llama 405B will. (That's how I found it).
It seems most of the RLHF'd models seem biased towards popularity over relevance when it comes to recall. They know about rare people like Tyler Volk... but they will never suggest them unless you prime them really heavily for them.
Your point on recommendations from humans I couldn't agree more with. Humans are the OG and undefeated recommendation system in my opinion.
I know Worldcat has something like this when you search for a book, but the API, I assume is only for library institutions and I'm not a library nor an institution.
All I want to do is talk to my computer, like:
"Sort these files" or whatever. Straight away. No noise.
And it should have a history of what was done already, so it knows what I'm talking about.
If people are concerned about safety, it could just be a 'mode' or an app that isn't a terminal but looks like a terminal.
The brain does saturate eventually and gets bored. Then the crisis of meaning. Then something meaningful emerges.
We’re all gonna die. Let’s just enjoy life to the fullest.
One idea I had is everyone is paid a thriving wage, and in exchange, if they in the future develop their passion into something that can make a profit, they pay back 20% of their profits they make up to some capped amount.
This allows for extreme generality. It truly frees people to pursue whatever they fancy every day until they catch lightning in a bottle.
There would be 0 obligation as to what to do, and when to pay back the money. But of course would have to be only open to honest people, so that neither side is exploiting the other.
Both sides need a sense of gratitude, and wanting to give back. A philanthropic 'flair' "If it doesn't work out, it's okay", and a gratitude and wanting to give back someday on the side of the receiver, as they continue working on probably the most resilient thing they could ever work on (the safest investment), their lifelong passion.
If and only if something like high-paying UBI comes along, and people are freed to pursue their passions and as a consequence, benefit the world much more intensely.
html {
-webkit-font-smoothing: antialiased;
}
For a better reading experience.If you're on Arc and have Boosts, I also recommend a darker background.
import whisper
model = whisper.load_model("turbo")
result = model.transcribe("audio.mp3")
print(result["text"])
Or this (although this is slightly 'dirtier'): import eng_to_ipa as ipa
def get_homophones(word):
words_that_sound_the_same = []
the_way_this_word_looks = word
the_way_this_word_sounds = ipa.convert(word)
words_that_contain_that_sound =
ipa.contains(the_way_this_word_sounds)
for every_word in words_that_contain_that_sound:
the_way_that_word_looks = every_word[0]
the_way_that_word_sounds = every_word[1]
if the_way_this_word_sounds == the_way_that_word_sounds:
if the_way_that_word_looks != the_way_this_word_looks:
words_that_sound_the_same.append(every_word)
return words_that_sound_the_same
get_homophones('their') #[['there', 'ðɛr'], ["they're", 'ðɛr']]
Or Raymond Hettinger style.Chef's kiss. I hate code that overcomplicates.
Blah blah 'making stuff explicit'... I don't think that it's impossible to make things explicit while also making it ergonomic, and humane to use.
Anyway, programming as a whole is an old paradigm, sigh, might as well make the new thing myself.
——
From their FAQ:
> Currently, our focus is on supporting existing, widely used, and impactful projects to specifically contribute to their sustainability. Very new projects or projects with minimal usage are not considered for the time being.
> A project can apply for funding of up to $100,000 in one year. To keep the logistics and operational overhead of the fund reasonable, we accept requests in denominations of a minimum of $10,000 and multiples of $25,000 thereafter.
A better title: Floss/fund: Up to $100K/year for popular open source projects
Still admirable though...
In a sense, maybe yeah. Of course if one were to really be absolute about that statement it would be absurd, it would greatly overfit the reality.
But it is interesting to assume this statement as true. Oftentimes when we think of ideas "off the top of our heads" they are not as profound as ideas that "come to us" in the shower. The subconscious may be doing 'more' 'computation' in a sense. Lakoff said the subconscious was 98% of the brain, and that the conscious mind is the tip of the iceberg of thought.